Literature DB >> 25596029

The evolution of fungicide resistance.

John A Lucas1, Nichola J Hawkins1, Bart A Fraaije1.   

Abstract

Fungicides are widely used in developed agricultural systems to control disease and safeguard crop yield and quality. Over time, however, resistance to many of the most effective fungicides has emerged and spread in pathogen populations, compromising disease control. This review describes the development of resistance using case histories based on four important diseases of temperate cereal crops: eyespot (Oculimacula yallundae and Oculimacula acuformis), Septoria tritici blotch (Zymoseptoria tritici), powdery mildew (Blumeria graminis), and Fusarium ear blight (a complex of Fusarium and Microdochium spp). The sequential emergence of variant genotypes of these pathogens with reduced sensitivity to the most active single-site fungicides, methyl benzimidazole carbamates, demethylation inhibitors, quinone outside inhibitors, and succinate dehydrogenase inhibitors illustrates an ongoing evolutionary process in response to the introduction and use of different chemical classes. Analysis of the molecular mechanisms and genetic basis of resistance has provided more rapid and precise methods for detecting and monitoring the incidence of resistance in field populations, but when or where resistance will occur remains difficult to predict. The extent to which the predictability of resistance evolution can be improved by laboratory mutagenesis studies and fitness measurements, comparison between pathogens, and reconstruction of evolutionary pathways is discussed. Risk models based on fungal life cycles, fungicide properties, and exposure to the fungicide are now being refined to take account of additional traits associated with the rate of pathogen evolution. Experimental data on the selection of specific mutations or resistant genotypes in pathogen populations in response to fungicide treatments can be used in models evaluating the most effective strategies for reducing or preventing resistance. Resistance management based on robust scientific evidence is vital to prolong the effective life of fungicides and safeguard their future use in crop protection.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cereal pathogens; Directional selection; Molecular diagnostics; Prediction of resistance; Resistance management; Resistance mechanisms; Risk assessment; Single-site inhibitors

Mesh:

Substances:

Year:  2014        PMID: 25596029     DOI: 10.1016/bs.aambs.2014.09.001

Source DB:  PubMed          Journal:  Adv Appl Microbiol        ISSN: 0065-2164            Impact factor:   5.086


  76 in total

Review 1.  The assembly of succinate dehydrogenase: a key enzyme in bioenergetics.

Authors:  Behrooz Moosavi; Edward A Berry; Xiao-Lei Zhu; Wen-Chao Yang; Guang-Fu Yang
Journal:  Cell Mol Life Sci       Date:  2019-06-24       Impact factor: 9.261

2.  Repeated Exposure of Aspergillus niger Spores to the Antifungal Bacterium Collimonas fungivorans Ter331 Selects for Delayed Spore Germination.

Authors:  Sandra Mosquera; Johan H J Leveau; Ioannis Stergiopoulos
Journal:  Appl Environ Microbiol       Date:  2021-05-26       Impact factor: 4.792

3.  Transcription factor ADS-4 regulates adaptive responses and resistance to antifungal azole stress.

Authors:  Kangji Wang; Zhenying Zhang; Xi Chen; Xianyun Sun; Cheng Jin; Hongwei Liu; Shaojie Li
Journal:  Antimicrob Agents Chemother       Date:  2015-06-22       Impact factor: 5.191

4.  [The German keratomycosis registry : Initial results of a multicenter survey].

Authors:  M Roth; L Daas; A Renner-Wilde; N Cvetkova-Fischer; M Saeger; M Herwig-Carl; M Matthaei; A Fekete; V Kakkassery; G Walther; M von Lilienfeld-Toal; C Mertens; J Lenk; J Mehlan; C Fischer; M Fuest; S Kroll; W Bayoudh; A Viestenz; A Frings; C R MacKenzie; E M Messmer; B Seitz; O Kurzai; G Geerling
Journal:  Ophthalmologe       Date:  2019-10       Impact factor: 1.059

5.  The Effects of Succinate Dehydrogenase Inhibitor Fungicide Dose and Mixture on Development of Resistance in Venturia inaequalis.

Authors:  Katrin M Ayer; Mei-Wah Choi; Stephanie T Smart; April E Moffett; Kerik D Cox
Journal:  Appl Environ Microbiol       Date:  2020-08-18       Impact factor: 4.792

6.  The ASK1 gene regulates the sensitivity of Fusarium graminearum to carbendazim, conidiation and sexual production by combining with β2-tubulin.

Authors:  Xiu-Shi Song; Xue-Mei Xiao; Kai-Xin Gu; Jing Gao; Shao-Chen Ding; Ming-Guo Zhou
Journal:  Curr Genet       Date:  2020-11-01       Impact factor: 3.886

Review 7.  Fungicide Resistance in Fusarium graminearum Species Complex.

Authors:  Magda Antunes de Chaves; Paula Reginatto; Bárbara Souza da Costa; Ricardo Itiki de Paschoal; Mário Lettieri Teixeira; Alexandre Meneghello Fuentefria
Journal:  Curr Microbiol       Date:  2022-01-07       Impact factor: 2.188

8.  Antifungal and anti-aflatoxigenic properties of organs of Cannabis sativa L.: relation to phenolic content and antioxidant capacities.

Authors:  Anthony Al Khoury; Rhend Sleiman; Ali Atoui; Pamela Hindieh; Richard G Maroun; Jean-Denis Bailly; André El Khoury
Journal:  Arch Microbiol       Date:  2021-06-18       Impact factor: 2.552

Review 9.  Bacillus lipopeptides as powerful pest control agents for a more sustainable and healthy agriculture: recent studies and innovations.

Authors:  Rafaela O Penha; Luciana P S Vandenberghe; Craig Faulds; Vanete T Soccol; Carlos R Soccol
Journal:  Planta       Date:  2020-02-21       Impact factor: 4.116

10.  Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning.

Authors:  Jan Wildenhain; Michaela Spitzer; Sonam Dolma; Nick Jarvik; Rachel White; Marcia Roy; Emma Griffiths; David S Bellows; Gerard D Wright; Mike Tyers
Journal:  Cell Syst       Date:  2015-12-23       Impact factor: 10.304

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